A Combined Algorithm to the 2D Lattice Model for Protein Folding

摘要：

This paper presents a novel search strategy for protein folding by combining Genetic Algorithm with Extremal Optimization (EO).In the proposed algorithm,a constrained structure is proposed to reduce the complexity of algorithm.EO quickly approaches nearoptimal solutions and GA generates an improved generation of global approximations.We demonstrate that the marriage of GA and EO can be applied successfully to the protein folding problem.The results show that the algorithm can find these best solutions so far for the listed benchmarks.Within the achieved results,the search converged rapidly and efficiently.

关键词： protein folding Genetic Algorithm Extremal Optimization

作者: Hengyun Lu Genke Yang L F Yeung

作者单位: Department of Automation,Shanghai Jiaotong University,Shanghai Department of Electronic Engineering,CityU HK.

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）